code: def test_smoke_batch(self, device, dtype):
      points = torch.rand(1, 1, 2, device=device, dtype=dtype)
      K = torch.rand(1, 3, 3, device=device, dtype=dtype)
      distCoeff = torch.rand(1, 4, device=device, dtype=dtype)
      pointsu = distort_points(points, K, distCoeff)
      assert points.shape == pointsu.shape
  
      new_K = torch.rand(1, 3, 3, device=device, dtype=dtype)
      pointsu = distort_points(points, K, distCoeff, new_K)
      assert points.shape == pointsu.shape
  
file_path: kornia/test/geometry/calibration/test_distort.py
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  from kornia.geometry.calibration.distort import distort_points
  from kornia.testing import assert_close
label_desc: Use image node_id 2 for calling the TestDistortPoints obj's underlying member method code with example usage: obj.test_smoke_batch(device, dtype) without return types